Triple
T25933246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunderbolt 4 |
E653483
|
entity |
| Predicate | supportsMinimumVideoConfiguration |
P192627
|
FINISHED |
| Object | two 4K displays at 60 Hz |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: two 4K displays at 60 Hz | Statement: [Thunderbolt 4, supportsMinimumVideoConfiguration, two 4K displays at 60 Hz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMinimumVideoConfiguration Context triple: [Thunderbolt 4, supportsMinimumVideoConfiguration, two 4K displays at 60 Hz]
-
A.
supportsVideoPlayback
Indicates that an entity is capable of playing or rendering video content.
-
B.
supportsVideoLengthRange
Indicates that an entity is compatible with or allows videos whose durations fall within a specified minimum-to-maximum time range.
-
C.
supportsH264
Indicates that one entity provides compatibility with, or the ability to encode/decode or process, H.264 video for another entity.
-
D.
supportsRobustLowBitrateModes
Indicates that something is capable of operating effectively and reliably at low data bitrates, maintaining acceptable performance or quality under such constrained conditions.
-
E.
supportsVerticalVideo
Indicates that one entity provides compatibility with or proper handling of vertical (portrait-oriented) video content for another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: April 22, 2026, 8:37 a.m.